Automatically extracting highlights for TV Baseball programs
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Detection of text captions in compressed domain video
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Linking live and replay scenes in broadcasted sports video
MULTIMEDIA '00 Proceedings of the 2000 ACM workshops on Multimedia
Automatic detection of 'Goal' segments in basketball videos
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Querying Video Data by Spatio-Temporal Relationships of Moving Object Traces
Proceedings of the IFIP TC2/WG2.6 Sixth Working Conference on Visual Database Systems: Visual and Multimedia Information Management
Video OCR for Digital News Archive
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Automatic Classification of Tennis Video for High-level Content-based Retrieval
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Event Detection and Summarization in Sports Video
CBAIVL '01 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'01)
Video Annotation for Content-based Retrieval using Human Behavior Analysis and Domain Knowledge
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Robust Extraction of Text in Video
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
A mid-level representation framework for semantic sports video analysis
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Sports video summarization using highlights and play-breaks
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Offense based temporal segmentation for event detection in soccer video
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Replay Detection in Broadcasting Sports Video
ICIG '04 Proceedings of the Third International Conference on Image and Graphics
Generic play-break event detection for summarization and hierarchical sports video analysis
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Detection of slow-motion replay segments in sports video for highlights generation
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Event based indexing of broadcasted sports video by intermodalcollaboration
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
A Novel Framework for Semantic Annotation and Personalized Retrieval of Sports Video
IEEE Transactions on Multimedia
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Automatic soccer video analysis and summarization
IEEE Transactions on Image Processing
Localizing and segmenting text in images and videos
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Event detection in field sports video using audio-visual features and a support vector Machine
IEEE Transactions on Circuits and Systems for Video Technology
An HMM-based framework for video semantic analysis
IEEE Transactions on Circuits and Systems for Video Technology
Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service
Journal of Visual Communication and Image Representation
Features extraction for soccer video semantic analysis: current achievements and remaining issues
Artificial Intelligence Review
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Automatic events annotation is an essential requirement for constructing an effective sports video summary. Researchers worldwide have actively been seeking the most robust and powerful solutions to detect and classify key events (or highlights) in different sports. Most of the current and widely used approaches have employed rules that model the typical pattern of audiovisual features within particular sport events. These rules are mainly based on manual observation and heuristic knowledge; therefore, machine learning can be used as an alternative. To bridge the gap between the two alternatives, we propose a hybrid approach, which integrates statistics into logical rule-based models during highlight detection. We have also successfully pioneered the use of play-break segment as a universal scope of detection and a standard set of features that can be applied for different sports, including soccer, basketball, and Australian football. The proposed method uses a limited amount of domain knowledge, making this method less, subjective and more robust for different sports. An experiment using a large data set of sports video has demonstrated the effectiveness and robustness of the algorithms.